• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.47-54
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• 2015

The following research analyzes that the level of self-monitoring have an influence on user experience about website. For this research, university students participated in a survey where they evaluated user experience -usability, aesthetics, pleasure- about the new screen images of two homepages of differences in brand recognizability. The "self-monitoring(high/low, except for middle)" and the "brand recognizability(high/low, except for middle)" were set as independent variables and the "usability | deviation |", the "aesthetics | deviation |", the "pleasure | deviation |" were set as the dependent variables. Results, as with new screen images of homepage, there were significant differences in the usability and aesthetics based on the level in self-monitoring. Especially, when level of brand recognizability is low, there was more differences in the usability and aesthetics based on the level in self-monitoring. However, the influence of pleasure on self-monitoring was insignificant.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.23 no.1
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• pp.18-25
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• 2011

This study presents the damage monitoring method in foundation-structure interface of harbor caisson using vibration-based autoregressive (AR) model. In order to achieve the objective, the following approaches are implemented. Firstly, vibration-based AR model is selected to monitor the damage in foundation-structure interface of caisson structure. Secondly, finite element analysis on a caisson structure model is implemented to evaluate the vibration-based damage monitoring method. Finally, vibration test on a caisson structure model is performed to evaluate applicability of vibration-based AR model method for foundation-structure interface of caisson structure.

• Journal of KIISE:Information Networking
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• v.28 no.4
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• pp.489-497
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• 2001

In the coming age of information warfare, information security patterns take on a more offensive than defensive stance. It is necessary to develop an active form of offensive approach to security protection in order to guard vital information infrastructures and thwart hackers. Information security products need to support an automatic response facility without human intervention in order to minimize damage to the attacked system and cope with the intrusion immediately. This paper presents an automatic intrusion response model which is developed on a Self-Extension Monitoring. It also proposes an ARTEMIS(Advanced Realtime Emergency Management and Intruder Identification System), which is designed and implemented based on the suggested model. The Self-Extension Monitoring using self-protection and replication minimizes spatial limitations on collection of monitoring information and intruder tracing. It enhances the accuracy of intrusion detection and tracing.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1895-1896
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• 2006

본 논문은 자기부상 제어기를 위한 모니터링 시스템 개발을 다루고 있다. 본 모니터링 시스템으로 자기부상 제어용 Man-Machine Interface를 구축하여 부상 안정성을 평가할 수 있다. 이는 각종 센서들로부터 감지되어 온 부상 갭과 가속도 그리고 제어 전류 등의 상태를 확인할 수 있으며 제어 게인들을 업로드하고 제어 게인들을 재설정하여 제어기로 다운로드할 수 있는 통합 모니터링 시스템이다.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.191-207
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• 2024

Many studies have been conducted to quickly detect out-of-control situations in autocorrelated processes. The most traditionally used method is a residual control chart, which uses residuals calculated from a fitted time series model. However, many procedures for monitoring autocorrelated processes using statistical learning methods have recently been proposed. In this paper, we propose a monitoring procedure using the latent vector of LSTM Autoencoder, a deep learning-based unsupervised learning method. We compare the performance of this procedure with the LSTM Autoencoder procedure based on the reconstruction error, the RNN classification procedure, and the residual charting procedure through simulation studies. Simulation results show that the performance of the proposed procedure and the RNN classification procedure are similar, but the proposed procedure has the advantage of being useful in processes where sufficient out-of-control data cannot be obtained, because it does not require out-of-control data for training.

• Proceedings of the KAIS Fall Conference
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• 2011.12b
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• pp.697-700
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• 2011

무선센서네트워크 (WSN, Wireless Sensor Network) 시스템의 활용분야가 다양해짐에 따라 기존 WSN의 문제점을 개선하기 위한 연구가 활발히 이루어지고 있으며, 한정된 배터리 자원 문제는 반드시 해결해야하는 주요한 과제이다. 이러한 문제점을 해결하기 위하여 원격에서 무선 전송 기술을 통하여 에너지를 전송하는 자기유지 지원 기술이 주목받고 있다. 자기유지 지원 기술은 센서 노드의 배터리 교체 및 에너지가 열악한 환경에서 동작 가능한 에너지를 전송하는 기술로서 건물상태 모니터링, 전장 감시 등과 같은 다양한 분야에서 활용되고 있다. 이러한 자기유지 지원 기술은 WSN을 구성하는 센서 노드들 전원 상태를 확인하는 것이 매우 중요하며, 이에 따라 에너지를 공급해야 한다. 따라서 본 논문에서는 자기유지지원을 위한 노드 전원 관리 모니터링 시스템을 설계 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1389-1392
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• 2007

인터넷과 통신 기술의 발달로 사이버학습, 원격교육 등 많은 서비스가 제공되고 있다. 그러나, 이러한 매체 발전에 비해 원격 교육으로 인한 학습자의 학습 효과에 대한 연구는 미약하다. 원격 교육의 경우 매체의 특성상 학습자의 편리, 시공간적인 제약의 극복 등 많은 긍정적 효과들을 바탕으로 자기주도 학습을 가능하게 하지만, 모니터링 기능의 부재로 학습자의 자기조절학습이 어려워 학습 효과를 높일 수 있는 방안이 요구되어 진다. 원격교육에서 학습자의 성실한 학습태도는 학습효과를 높이는 중요한 요소이다. 원격 학습자가 학습 컨텐츠를 수강하기 시작하여 마치기까지 모니터링 함으로써 학습자의 집중도와 성취도를 평가하고자 한다. 따라서 본 논문에서는 원격 교육에서 학습자의 학습 태도를 실시간으로 평가하고 분석하는 모니터링 기능을 가진 학습 평가 시스템을 구현하여, 학습 효과를 높일 수 있었다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.447-451
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• 2010

Monitoring and analyzing the status of smart objects, the ubiquitous smart monitoring system provides several information such as user-state index, service states and system operation among the services in real time. It also provides self-optimization and self-management for enhancing the performance of services. In order to expand the application scope of this real-time monitoring system, it is indispensible to process huge amount of stream data. In this paper, we propose a load balancing scheme to solve the overload of the monitoring agents. Our proposed scheme reduces deadline miss ratio of entire data by more than 80%.

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.3
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• pp.359-366
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• 2021

In this study, It was developed an monitoring cracks system based on image processing techniques in order to measure cracks, which are major damages in concrete, and to convert them into a database. The crack monitoring system consists of crack image captured equipment and a crack detection and analysis software. This system provides objective and quantitative data by replacing the conventional visual inspection. The crack detection algorithm w as verified through an indoor test using virtual cracks, and the amount of crack detection and crack width change was monitored by applying it to the self-healing repair mortar construction site. In the case of the crack width detected through image analysis, the maximum difference from the actual crack width was 0.0334mm. It was possible to detect microcracks of 0.1mm or less, and the effect of crack healing over time of the self-healing repair mortar was confirmed trough the field test.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.481-486
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• 2012

This thesis examines the development and application of 'Health Monitoring System' which monitors periodically the state of a pipe of petrochemical plant by using magnetostrictive sensor technology. The existing guided-wave inspection methods cannot be applied to welding part inspection in pipe, and has a limit of precision when applied to general parts because of noise, reflected waves, and so on. This technology uses the information on displacement of a defect through periodic monitoring, which makes more precise inspection, and can be utilized very usefully in a petrochemical plant.